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06/23/2023
Trading-off price for data quality to achieve fair online allocation
We consider the problem of online allocation subject to a long-term fair...
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01/13/2023
Decentralized model-free reinforcement learning in stochastic games with average-reward objective
We propose the first model-free algorithm that achieves low regret perfo...
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11/21/2022
Bias and Refinement of Multiscale Mean Field Models
Mean field approximation is a powerful technique which has been used in ...
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05/24/2022
Fairness in Selection Problems with Strategic Candidates
To better understand discriminations and the effect of affirmative actio...
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03/10/2022
Computing Whittle (and Gittins) Index in Subcubic Time
Whittle index is a generalization of Gittins index that provides very ef...
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12/10/2021
On Fair Selection in the Presence of Implicit and Differential Variance
Discrimination in selection problems such as hiring or college admission...
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11/02/2021
Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works!
Mean field approximation is a powerful technique to study the performanc...
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06/28/2021
Asymptotic Degradation of Linear Regression Estimates With Strategic Data Sources
We consider the problem of linear regression from strategic data sources...
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06/16/2021
Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism?
We study learning algorithms for the classical Markovian bandit problem ...
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12/16/2020
Exponential Convergence Rate for the Asymptotic Optimality of Whittle Index Policy
We evaluate the performance of Whittle index policy for restless Markovi...
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06/24/2020
On Fair Selection in the Presence of Implicit Variance
Quota-based fairness mechanisms like the so-called Rooney rule or four-f...
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04/16/2020
Refined Mean Field Analysis of the Gossip Shuffle Protocol – extended version –
Gossip protocols form the basis of many smart collective adaptive system...
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06/15/2019
The Price of Local Fairness in Multistage Selection
The rise of algorithmic decision making led to active researches on how ...
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07/20/2018
A refined mean field approximation of synchronous discrete-time population models
Mean field approximation is a popular method to study the behaviour of s...
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05/02/2018
A new analysis of Work Stealing with latency
We study in this paper the impact of communication latency on the classi...
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04/14/2010